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bayes solution相关的网络例句

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A new method of empirical Bayes reliability evaluation for the binomial distribution is presented and its performance is studied .

为了解决引信可靠性评估中子样容量小与可靠性高的尖锐矛盾,本文研究了经验贝叶斯方法。

Events,Operation and Relation of Sets, Classical Probability, Geometrical Probability , Statistical Stability of a Frequency, Axioms of Probability, Conditional Probability, Total Probability Theorem, Bayes' Rule,Independent Events,Independent Repeated Trials, One Dimensional Random Variables, Discrete Random Variables, Distribution Function of a Random Variables , Continuous Random Variables, Normal Distribution, Distribution of a Function of a Random Variable, Multidimensional Random Variables, Joint Distribution Function, Marginal Distribution Function,Discrete Two—Dimensional Random Variables,Continuous Two—Dimensional Random Variables, Independent Random Variables, Distribution of Functions of Random Variables,Expectation,Variance, Covariance, Coefficient of Correlation, Bivariate Normal Distribution, Law of Large Numbers, The Central Limit Theorems, Sample and Population ,Chi—Squared, T and F Distributions , Sampling Distributions , Point Estimation , Interval Estimation , Testing Hypotheses , A Test of Significance for Parameters in a Single Sample From a Normally Distributed Population , A Test of Significance for Parameters in Two Sample From Normally Distributed Populations .

本课程的主要内容:概率的概念与运算、随机变量及其分布、随机变量的数字特征与极限定理、数理统计的基本概念、估计和检验的基本方法,随机事件与概率随机事件、事件的关系与运算、几何概率、统计概率等,条件概率、全概率公式、贝叶斯公式、事件的独立性、二项概率公式,随机变量的概念、离散型随机变量、随机变量的分布函数、连续型随机变量、随机变量函数的分布,多维随机变量及其分布函数、边缘分布函数、随机变量的独立性、二维随机变量函数的分布,数学期望、方差、协方差和相关系数、大数定律、中心极限定理,总体与样本, X 2-分布、 t-分布和 F-分布,统计量及抽样分布,假设检验的基本概念、单个正态总体参数的显著性检验、两个正态总体参数的显著性检验。

Bayes was one of two main influences on the early development of probability theory and statistics. The other was Blaise Pascal, a Frenchman.

对早期概率论和统计学发展具有重大影响的有两位科学家,贝叶斯是其中一位,另一位是法国的布雷泽·帕斯卡。

Then how to use limited Markov chain and Bayes' rule in DHCM to dynamically describe the evolution of enterprises' cooperative relationships, specifically evolution of cooperative relationships building and cooperative relationships selecting is analyzed. Finally, how to optimize related action sets in the model during the evolution is discussed.

模型首先对企业整体协作关系进行了一般性描述和形式化描述,之后利用有限马尔可夫链和贝叶斯法则对在面临新的市场需求的情况下企业之间是否建立协作关系以及建立何种协作关系进行了动态描述,并分析了在新的市场需求下,企业实体将如何选择最优的行动集。

In Chapter 5, we obtain the Bayes estimations of regression coefficient under the balanced loss posterior risk by the three kinds of experiential distributions about the parameters.

第5章就线性回归模型在平衡损失后验风险下,针对参数服从三种不同的先验分布,分别得到平衡损失下的Bayes估计。

Its application to numeral recognition shows that the improved Bayes principle made the combination of multiple classifiers achieve good performance of high recognition rate and high reliability.

在数字识别中的应用结果表明,改进的贝叶斯规则可以使多分类器的组合结果识别率和置信度得到明显提高。

First,much basic knowledge is introduced.Then,it importantly introduces my perspective : in this paper the estimations of the parameters and coefficient of contamination for the simple regression model and studied when its response variables are contaminated by another random variable sequence it discusses that the interval estimation of posterior confidence probability of parameters on coefficient of contamination by using the method of Bayes inference.

首先介绍了一些基础知识,然后重点介绍了我所做的工作:讨论简单回归模型中响应变量受到另一随机变量序列污染时,模型参数和污染系数的估计方法。

The thesis studys the equivalent exponential distribution best lower confidence limit estimation method and Bayes-Weibull model method.

论文基于循环泵的寿命数据,运用等效指数分布最优置信下限估计方法和Bayes-weibull模型方法评估循环泵的可靠性。

Changzhou CONSOL Energy Co., Ltd. is the United Kingdom in China's important cooperative partner, renowned at home and abroad are known as "Bayesian Shuangjie" of new energy development and utilization of well-known experts and Mr. TonyíMaster internationally renowned IM Pei building, headed by Mr. Bayes family business members of the Group companies.

常州康寿能源有限公司是英国CONSOL在华的重要合作伙伴,是享誉国内外素有"贝氏双杰"之称著名新能源开发利用专家贝聿昆先生和国际著名建筑大师贝聿铭先生为首的贝氏家族企业集团的成员企业。

In order to verify the method, the comparison among the Tabary slope method, the Bayes function method, the Yamada continuity method and the background error covariance function method is presented. The results show that the background error covariance function method is the best one.

为检验此法效果,利用1999年5月3日到4日奥克拉荷马强龙卷的雷达资料,给出风廓线仪的实测结果对比分析,Tabary的切线拟合方法和条件概率方法,Yamada的连续性检测方法的对比试验及退模糊后的径向速度图。

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